OPEN-SOURCE SCRIPT
ATK/DEF LTF Analysis Multi hunting zone
ATK / DEF LTF Analysis is a multi dimensional LTF (Lower Timeframe) market analysis to observe detailed price behavior, liquidity conditions, volatility, market position, and changing market states through a structured analytical framework.
Unlike conventional sigle-indicator desis, the dashboard does not rely on one islated value. LTF market data is searated into multiple analytical dimensions and presented through a unified dashboard, allowing different market conditions and levels to be observed togher.
### LTF Analysis Dashboard
The dashboard consists of several independent analytical modules:
* **LTF Hunting Zone**
Divides the current LTF price range into multiple relative zones based on the selected lookback period. The current price position is classified into Top, High, Mid, Low, or Bottom Hunting Zones, with a visual OB box marking the active zone.
* **LTF Liquidity Gap**
Combines LTF volume activity, pric displacement, and ATR-normalized distance to describe different liquidity conditions, including liquidity injection, balance, drain, and lo-liquidity states.
* **LTF Rik Level**
Combines ATR, ADX, and RSI conditions to measure the degree of market activity and volatility pressure, searating different levels of market intensiy.
* **LTF Liquidity Trend**
Evaluates the relationship between volume changes and price changes to describe the current liquidity flo state, including inflo, balance, and outflo conditions.
* **LTF Reversal Probability**
Combines price-zone position, RSI extremes, and liquidity conditions to measure the concentration of conditions assoated with pontial market state changes.
* **LTF Final Result**
Aregates the core Hunting Zone, Liquidity Gap, and Liquidity Trend dimensions into a unified scor and classifies the current LTF market condition into different levels.
### Multi Hunting Zone
The Multi Hunting Zone structure is one of the main components of the framework.
The selected LTF price range is divided into several relative zones. Each zone represents the current position of price within the defined observation range.
The Hunting Zone OB Box provides a direct visual representation of the actve area on the chart.
These zones are not innded to represent conventional fixed suort or re levels. They are relative market-position areas calculated from the selected LTF observation range.
### LTF Liquidity Analysis
The dashboard goes beyond price direction by combining volume, ATR, ADX, RSI, price displacement, and relative price position.
These data relationships are organized into several layers:
Pric Postion → Liqdity Condion → Mart Actity → Liquity Fl → Stte Concration → Composite Analysis
This structure allows different market characristics to be observed simultaously rather than relying on a single indicator value.
### Market State Classification
LTF Analysis serates market conditions into different levels insad of presenting only one isolated measurement.
The dashboard preserves multiple dimensions of information, including:
Market Position, Liquidity Condition, Volatility, Price Behavior, Activity Level, and Composite State.
The final score is a structured representation of the relationships between these calculated components within the selected LTF framework.
### Parameter Configuration
The LTF timeframe, Hunting Zone lookback, ATR parameters, and other settings are us-defed.
Different instruments and chart environments can produce different analytical characteristics. Parameter configuration therefore forms an important part of the observation framework.
Use should adjust the available parameters according to the market and chart environment being analyzed.
### Usage Scope
ATK / DEF LTF Analysis is designed strtly as a market observation and analytical dashbo.
It orgazes and displays relationships between LTF market data and does not provide tra insttions, enr sials, et sials, or final recomations.
The result represents the calculated state of the selected analytical framework and should be intereted tother with other market-analysis tools and the brder chart enviroent.
LTF timeframes and relent parameters should be configured by the use according to the market and analytical context.**
Unlike conventional sigle-indicator desis, the dashboard does not rely on one islated value. LTF market data is searated into multiple analytical dimensions and presented through a unified dashboard, allowing different market conditions and levels to be observed togher.
### LTF Analysis Dashboard
The dashboard consists of several independent analytical modules:
* **LTF Hunting Zone**
Divides the current LTF price range into multiple relative zones based on the selected lookback period. The current price position is classified into Top, High, Mid, Low, or Bottom Hunting Zones, with a visual OB box marking the active zone.
* **LTF Liquidity Gap**
Combines LTF volume activity, pric displacement, and ATR-normalized distance to describe different liquidity conditions, including liquidity injection, balance, drain, and lo-liquidity states.
* **LTF Rik Level**
Combines ATR, ADX, and RSI conditions to measure the degree of market activity and volatility pressure, searating different levels of market intensiy.
* **LTF Liquidity Trend**
Evaluates the relationship between volume changes and price changes to describe the current liquidity flo state, including inflo, balance, and outflo conditions.
* **LTF Reversal Probability**
Combines price-zone position, RSI extremes, and liquidity conditions to measure the concentration of conditions assoated with pontial market state changes.
* **LTF Final Result**
Aregates the core Hunting Zone, Liquidity Gap, and Liquidity Trend dimensions into a unified scor and classifies the current LTF market condition into different levels.
### Multi Hunting Zone
The Multi Hunting Zone structure is one of the main components of the framework.
The selected LTF price range is divided into several relative zones. Each zone represents the current position of price within the defined observation range.
The Hunting Zone OB Box provides a direct visual representation of the actve area on the chart.
These zones are not innded to represent conventional fixed suort or re levels. They are relative market-position areas calculated from the selected LTF observation range.
### LTF Liquidity Analysis
The dashboard goes beyond price direction by combining volume, ATR, ADX, RSI, price displacement, and relative price position.
These data relationships are organized into several layers:
Pric Postion → Liqdity Condion → Mart Actity → Liquity Fl → Stte Concration → Composite Analysis
This structure allows different market characristics to be observed simultaously rather than relying on a single indicator value.
### Market State Classification
LTF Analysis serates market conditions into different levels insad of presenting only one isolated measurement.
The dashboard preserves multiple dimensions of information, including:
Market Position, Liquidity Condition, Volatility, Price Behavior, Activity Level, and Composite State.
The final score is a structured representation of the relationships between these calculated components within the selected LTF framework.
### Parameter Configuration
The LTF timeframe, Hunting Zone lookback, ATR parameters, and other settings are us-defed.
Different instruments and chart environments can produce different analytical characteristics. Parameter configuration therefore forms an important part of the observation framework.
Use should adjust the available parameters according to the market and chart environment being analyzed.
### Usage Scope
ATK / DEF LTF Analysis is designed strtly as a market observation and analytical dashbo.
It orgazes and displays relationships between LTF market data and does not provide tra insttions, enr sials, et sials, or final recomations.
The result represents the calculated state of the selected analytical framework and should be intereted tother with other market-analysis tools and the brder chart enviroent.
LTF timeframes and relent parameters should be configured by the use according to the market and analytical context.**
Open-source script
In true PulseWire spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by PulseWire. Read more in the Terms of Use.
Open-source script
In true PulseWire spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by PulseWire. Read more in the Terms of Use.